从灰度图片创建彩色图片

Question

我有一个值从 0 到 1000 的矩阵，我可以轻松地将值缩放到 0~255 范围，如果我在 opencv 中显示来自 Python 的矩阵，那是一张灰度图。 =11=]

问题是，如何将矩阵{Dimensions = (m, n)}转换为三层矩阵数组{Dimensions = (m, n, 3)}？

这是，如何将灰度图转为彩色图？

我做了这个功能，但是没有用

 import matplotlib.pyplot as plt
 from itertools import product  

 def convertPicturetoColor(self, image, cmap=plt.get_cmap('rainbow')):
     '''
     Converts a greyscale [0~255] picture to a color picture
     '''
     a, b = np.shape(image)
     m = np.zeros((a, b, 3))
     for i, j in product(xrange(a), xrange(b)):
         m[i,j,:] = np.array(cmap(image[i,j]))[0:3]
     return m

Answer 1

>>> help(cv2.applyColorMap)
Help on built-in function applyColorMap:

applyColorMap(...)
    applyColorMap(src, colormap[, dst]) -> dst

这是地图枚举：

COLORMAP_AUTUMN = 0
COLORMAP_BONE = 1
COLORMAP_COOL = 8
COLORMAP_HOT = 11
COLORMAP_HSV = 9
COLORMAP_JET = 2
COLORMAP_OCEAN = 5
COLORMAP_PINK = 10
COLORMAP_RAINBOW = 4
COLORMAP_SPRING = 7
COLORMAP_SUMMER = 6
COLORMAP_WINTER = 3

所以，简单地说：

dst = cv2.applyColorMap(src, cv2.COLORMAP_RAINBOW)

从灰度图片创建彩色图片

Create colour picture from greyscale picture

python

opencv